• DocumentCode
    1077657
  • Title

    Simulating the grassfire transform using an active contour model

  • Author

    Leymarie, FrCédCéric ; Levine, Martin D.

  • Author_Institution
    McGill Univ., Montreal, Que., Canada
  • Volume
    14
  • Issue
    1
  • fYear
    1992
  • fDate
    1/1/1992 12:00:00 AM
  • Firstpage
    56
  • Lastpage
    75
  • Abstract
    A method for shape description of planar objects that integrates both region and boundary features is presented. The method is an implementation of a 2D dynamic grassfire that relies on a distance surface on which elastic contours minimize an energy function. The method is based on an active contour model. Numerous implementation aspects of the shape description method were optimized. A Euclidean metric was used for optimal accuracy, and the active contour model permits bypassing some of the discretization limitations inherent in using a digital grid. Noise filtering was performed on the basis of both contour feature measures and region measures, that is, curvature extremum significance and ridge support, respectively, to obtain robust shape descriptors. Other improvements and variations of the algorithmic implementation are proposed
  • Keywords
    filtering and prediction theory; pattern recognition; picture processing; Euclidean metric; active contour model; boundary features; curvature extremum significance; digital grid; elastic contours; grassfire transform simulation; pattern recognition; region features; shape description; Active contours; Active shape model; Amorphous materials; Biological information theory; Councils; Data mining; Deformable models; Feature extraction; Fires; Skeleton;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.107013
  • Filename
    107013